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Joint Distribution Optimal Transportation for Domain Adaptation

Joint Distribution Optimal Transportation for Domain Adaptation

24 May 2017
Nicolas Courty
Rémi Flamary
Amaury Habrard
A. Rakotomamonjy
    OT
    OOD
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Papers citing "Joint Distribution Optimal Transportation for Domain Adaptation"

26 / 126 papers shown
Title
Geometric Dataset Distances via Optimal Transport
Geometric Dataset Distances via Optimal Transport
David Alvarez-Melis
Nicolò Fusi
OT
90
195
0
07 Feb 2020
Discriminative Adversarial Domain Adaptation
Discriminative Adversarial Domain Adaptation
Hui Tang
Kui Jia
OOD
25
194
0
27 Nov 2019
The Role of Embedding Complexity in Domain-invariant Representations
The Role of Embedding Complexity in Domain-invariant Representations
Ching-Yao Chuang
Antonio Torralba
Stefanie Jegelka
16
1
0
13 Oct 2019
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
Evgeny Burnaev
GAN
131
101
0
28 Sep 2019
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation
Victor Bouvier
P. Very
C´eline Hudelot
C. Chastagnol
19
6
0
29 Jul 2019
Solving graph compression via optimal transport
Solving graph compression via optimal transport
Vikas K. Garg
Tommi Jaakkola
OT
18
16
0
29 May 2019
Geometric Losses for Distributional Learning
Geometric Losses for Distributional Learning
A. Mensch
Mathieu Blondel
Gabriel Peyré
25
15
0
15 May 2019
Minimax estimation of smooth optimal transport maps
Minimax estimation of smooth optimal transport maps
Jan-Christian Hütter
Philippe Rigollet
OT
29
28
0
14 May 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport
On Scalable and Efficient Computation of Large Scale Optimal Transport
Yujia Xie
Minshuo Chen
Haoming Jiang
T. Zhao
H. Zha
OT
19
42
0
01 May 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee
Tanmay Batra
M. H. Baig
Daniel Ulbricht
47
538
0
10 Mar 2019
Support and Invertibility in Domain-Invariant Representations
Support and Invertibility in Domain-Invariant Representations
Fredrik D. Johansson
David Sontag
Rajesh Ranganath
22
160
0
08 Mar 2019
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian
  Process Approach
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
Minyoung Kim
Pritish Sahu
Behnam Gholami
Vladimir Pavlovic
OOD
14
45
0
23 Feb 2019
2-Wasserstein Approximation via Restricted Convex Potentials with
  Application to Improved Training for GANs
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs
Amirhossein Taghvaei
Amin Jalali
33
43
0
19 Feb 2019
Domain Discrepancy Measure for Complex Models in Unsupervised Domain
  Adaptation
Domain Discrepancy Measure for Complex Models in Unsupervised Domain Adaptation
Jongyeong Lee
Nontawat Charoenphakdee
Seiichi Kuroki
Masashi Sugiyama
18
11
0
30 Jan 2019
On Learning Invariant Representation for Domain Adaptation
On Learning Invariant Representation for Domain Adaptation
Haiying Zhao
Rémi Tachet des Combes
Kun Zhang
Geoffrey J. Gordon
OOD
35
157
0
27 Jan 2019
A review of domain adaptation without target labels
A review of domain adaptation without target labels
Wouter M. Kouw
Marco Loog
OOD
VLM
15
478
0
16 Jan 2019
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete
  Demonstrations of Algorithmic Effectiveness in the Machine Learning and
  Artificial Intelligence Literature
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature
Franz J. Király
Bilal A. Mateen
R. Sonabend
23
10
0
18 Dec 2018
An Entropic Optimal Transport Loss for Learning Deep Neural Networks
  under Label Noise in Remote Sensing Images
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images
B. Damodaran
Rémi Flamary
Vivien Seguy
Nicolas Courty
NoLa
34
39
0
02 Oct 2018
Unsupervised Domain Adaptation Based on Source-guided Discrepancy
Unsupervised Domain Adaptation Based on Source-guided Discrepancy
Seiichi Kuroki
Nontawat Charoenphakdee
Han Bao
Junya Honda
Issei Sato
Masashi Sugiyama
6
57
0
11 Sep 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
33
71
0
14 Aug 2018
Towards Optimal Transport with Global Invariances
Towards Optimal Transport with Global Invariances
David Alvarez-Melis
Stefanie Jegelka
Tommi Jaakkola
OT
29
71
0
25 Jun 2018
Variational Wasserstein Clustering
Variational Wasserstein Clustering
Liang Mi
Wen Zhang
X. Gu
Yalin Wang
OT
61
42
0
23 Jun 2018
Unsupervised Domain Adaptation with Adversarial Residual Transform
  Networks
Unsupervised Domain Adaptation with Adversarial Residual Transform Networks
Guanyu Cai
Yuqin Wang
Mengchu Zhou
Lianghua He
GAN
19
88
0
25 Apr 2018
Causal Generative Domain Adaptation Networks
Causal Generative Domain Adaptation Networks
Biwei Huang
Kun Zhang
Erdun Gao
Clark Glymour
Dacheng Tao
Kayhan Batmanghelich
CML
OOD
TTA
30
21
0
12 Apr 2018
Large-Scale Optimal Transport and Mapping Estimation
Large-Scale Optimal Transport and Mapping Estimation
Vivien Seguy
B. Damodaran
Rémi Flamary
Nicolas Courty
Antoine Rolet
Mathieu Blondel
OT
41
243
0
07 Nov 2017
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
793
0
19 Feb 2009
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